Money Quest
Can you build a month around £1,500?
- Percentages
- Budgeting
- Trade-offs
- Financial literacy
Equal education in the age of AI.
EqualEd AI is building personal learning experiences that understand what a student knows, teach what they need next and help them use it in the real world.
Founded by Aryan Shekar. Built to help students think—not simply collect answers.
The opportunity
A child’s educational opportunities are still shaped by geography, family income, school resources and access to tutoring.
AI creates a chance to make careful explanation, timely feedback and meaningful practice available at a radically lower cost—if it is built around learning rather than answer generation.
The EqualEd idea
EqualEd AI is building a learning platform that finds what a student needs next, teaches it personally, lets them apply it and checks that the learning lasts.
Why EqualEd existsNearlyTeacher.ai
A personal AI teaching companion that learns from how you solve—not just what you ask.
Look behind an incorrect answer for the concept or misconception that matters.
Use questions and progressive hints so the learner stays active.
Return later with a fresh problem and test independent understanding.
A different objective
A fast answer can end the question without building the understanding. EqualEd is designed around the longer path that helps a learner solve the next problem alone.
The interaction ends when an answer appears.
“The goal is not to make students dependent on AI. It is to help them become capable without it.”
QuidQuest
Put knowledge to work through decisions, simulations and real-world missions. These cards show the kinds of experiences EqualEd is designed to enable; they are not claims of released content.
Can you build a month around £1,500?
Design the fastest roller coaster that stays safe.
Power a town for 24 hours.
Turn £100 into a viable pop-up business.
One shared learning journey
NearlyTeacher and QuidQuest are not separate islands. They are designed to share one careful, evolving picture of learning.
Questions, explanations and guided practice.
Decisions, consequences and real-world transfer.
Evidence, revision and the next useful objective.
The learning loop
One shared learner model connects what was taught, how much help was needed, whether the idea transferred and what should come next.
NearlyTeacher finds the missing idea.
Questions and explanations build the model.
QuidQuest moves knowledge into a real decision.
A fresh, delayed check tests independence.
Personalisation with a purpose
Every student reaches an idea with different prior knowledge. EqualEd is designed to build a careful, changing picture from attempts, explanations, help used and delayed checks—not from fixed “learning style” labels.
The learner can see why something is recommended and challenge what the system thinks it knows.
Because positive and negative roots are still uncertain.
The north star
Not screen time. Not questions asked. Not chatbot conversations.
EqualEd’s most important question is whether the learner understood the concept, can solve it without substantial help and can still do it later on a different problem.
A concept demonstrated independently and retained on a delayed check.
AI + teachers
EqualEd’s future teacher experience is intended to make learning evidence useful: reveal a shared misconception, identify where a fresh challenge is needed and show whether an intervention worked.
Teachers remain in control. No opaque ability scores, predicted grades or surveillance dashboards.
Explore the school propositionEvidence across three diagnostic items · review recommended
One useful question for a family conversation.
For parents
A future parent view should explain meaningful progress, one current challenge and one useful way to support a conversation—without exposing private chats or turning learning into surveillance.
Safety by design
EqualEd is being designed with leading child-safety, privacy and responsible-AI principles in mind. Formal legal and assurance work must be completed before public child registration opens.
Interaction, language, permissions and escalation should reflect the learner’s age and context—not rely on one generic chatbot policy.
Collect only what a defined learning, safety or operational purpose requires. A learner’s work is not a free training corpus.
Use approved curriculum material, bounded teaching moves and verification. When the system cannot establish an answer, it should say so.
Founded from a student’s perspective
Students experience education every day. They should also have a voice in imagining what education could become.
“If AI can give one child access to extraordinary personalised education, why shouldn’t it give that opportunity to every child?”Read the founder story
The long-term vision
A learning system that can eventually understand what a student knows, what they have forgotten, where a misconception began, which challenge will make an idea useful and what should come next.
Initial launch
EqualEd’s ambition is global. The first implementation is deliberately narrow enough to test deeply, verify responsibly and improve with real evidence.
Build with us
We are inviting students, parents, teachers, schools and mission-aligned partners to help shape EqualEd’s first focused learning experience.